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Next Generation Sequencing

Overview of attention for book
Cover of 'Next Generation Sequencing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Integrated Polysome Profiling and Ribosome Profiling Method to Investigate In Vivo Translatome
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    Chapter 2 Measuring Nascent Transcripts by Nascent-seq
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    Chapter 3 Genome-Wide Copy Number Alteration Detection in Preimplantation Genetic Diagnosis
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    Chapter 4 Multiplexed Targeted Sequencing for Oxford Nanopore MinION: A Detailed Library Preparation Procedure
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    Chapter 5 Hi-Plex for Simple, Accurate, and Cost-Effective Amplicon-based Targeted DNA Sequencing
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    Chapter 6 ClickSeq: Replacing Fragmentation and Enzymatic Ligation with Click-Chemistry to Prevent Sequence Chimeras
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    Chapter 7 Genome-Wide Analysis of DNA Methylation in Single Cells Using a Post-bisulfite Adapter Tagging Approach
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    Chapter 8 Sequencing of Genomes from Environmental Single Cells
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    Chapter 9 SNP Discovery from Single and Multiplex Genome Assemblies of Non-model Organisms
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    Chapter 10 CleanTag Adapters Improve Small RNA Next-Generation Sequencing Library Preparation by Reducing Adapter Dimers
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    Chapter 11 Sampling, Extraction, and High-Throughput Sequencing Methods for Environmental Microbial and Viral Communities
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    Chapter 12 A Bloody Primer: Analysis of RNA-Seq from Tissue Admixtures
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    Chapter 13 Next-Generation Sequencing of Genome-Wide CRISPR Screens
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    Chapter 14 Gene Profiling and T Cell Receptor Sequencing from Antigen-Specific CD4 T Cells
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    Chapter 15 Investigate Global Chromosomal Interaction by Hi-C in Human Naive CD4 T Cells
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    Chapter 16 Primer Extension, Capture, and On-Bead cDNA Ligation: An Efficient RNAseq Library Prep Method for Determining Reverse Transcription Termination Sites
Attention for Chapter 7: Genome-Wide Analysis of DNA Methylation in Single Cells Using a Post-bisulfite Adapter Tagging Approach
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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13 tweeters

Citations

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Readers on

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Chapter title
Genome-Wide Analysis of DNA Methylation in Single Cells Using a Post-bisulfite Adapter Tagging Approach
Chapter number 7
Book title
Next Generation Sequencing
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7514-3_7
Pubmed ID
Book ISBNs
978-1-4939-7512-9, 978-1-4939-7514-3
Authors

Heather J. Lee, Sébastien A. Smallwood

Abstract

DNA methylation is an epigenetic mark implicated in the regulation of key biological processes. Using high-throughput sequencing technologies and bisulfite-based approaches, it is possible to obtain comprehensive genome-wide maps of the mammalian DNA methylation landscape with a single-nucleotide resolution and absolute quantification. However, these methods were only applicable to bulk populations of cells. Here, we present a protocol to perform whole-genome bisulfite sequencing on single cells (scBS-Seq) using a post-bisulfite adapter tagging approach. In this method, bisulfite treatment is performed prior to library generation in order to both convert unmethylated cytosines and fragment DNA to an appropriate size. Then DNA fragments are pre-amplified with concomitant integration of the sequencing adapters, and libraries are subsequently amplified and indexed by PCR. Using scBS-Seq we can accurately measure DNA methylation at up to 50% of individual CpG sites and 70% of CpG islands.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Ph. D. Student 3 20%
Student > Master 2 13%
Student > Doctoral Student 2 13%
Student > Bachelor 1 7%
Other 1 7%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 40%
Biochemistry, Genetics and Molecular Biology 2 13%
Business, Management and Accounting 1 7%
Medicine and Dentistry 1 7%
Neuroscience 1 7%
Other 1 7%
Unknown 3 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2017.
All research outputs
#2,371,301
of 13,322,716 outputs
Outputs from Methods in molecular biology
#723
of 8,472 outputs
Outputs of similar age
#91,916
of 386,616 outputs
Outputs of similar age from Methods in molecular biology
#108
of 1,662 outputs
Altmetric has tracked 13,322,716 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,472 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 386,616 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 1,662 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.